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7 Credits

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7 Credits
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Predict Taxi Fare with a BigQuery ML Forecasting Model

GSP246

Overview

BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage, or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

BigQuery Machine Learning (BQML, product in beta) is a new feature in BigQuery where data analysts can create, train, evaluate, and predict with machine learning models with minimal coding.

In this lab, you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset. Then you will create a machine learning model inside of BigQuery to predict the fare of the cab ride given your model inputs. Lastly, you will evaluate the performance of your model and make predictions.

Objectives

In this lab, you learn to perform the following tasks:

Use BigQuery to find public datasets

Query and explore the public taxi cab dataset

Create a training and evaluation dataset to be used for batch prediction

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In this lab you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.